Optimization of an artificial neural network for fatigue damage identification using analysis of variance

@inproceedings{Sbarufatti2017OptimizationOA,
  title={Optimization of an artificial neural network for fatigue damage identification using analysis of variance},
  author={Claudio Sbarufatti},
  year={2017}
}
Summary Artificial neural networks (ANN) are extensively utilized in structural health monitoring. Nevertheless, the definition of a rigorous method for the optimization of their structure is still an unresolved issue, especially when applied to safety critical systems. In this paper, an approach typically adopted in the design of experiments and based on the analysis of variance (ANOVA) is used to statistically determine the number of hidden neurons in a three-layer ANN structure. Repeated… CONTINUE READING